Comparision of Alexithymia and Loneliness In Terms of Some Aspects and Investigation of Relationship Among University Students
Bibliographic record
Abstract
Bu calismadaki temel amac aleksitimi ve yalnizlik arasindaki iliskiyi incelemektir. Arastirma 2001-2002 egitim ve ogretim yili bahar yari yilinda Gazi Universitesi Iktisadi ve Idari Bilimler Fakultesinde okuyan ogrenciler arasindan rasgele secilmis 230 ogrenciye Toronto Aleksitimi Olcegi (TAO) ve UCLA Yalnizlik Olcegi uygulanarak gerceklestirilmistir. Arastirmada yapilan analizler sonucunda universite ogrencilerinin aleksitimi ve yalnizlik duzeyleri arasinda pozitif yonde anlamli bir iliski oldugu tespit edilmistir (r-.66). Kiz ve erkek ogrencilerin yalnizlik puanlari arasinda .05 duzeyinde anlamli bir farklilik oldugu ancak ayni ogrencilerin aleksitimi puanlari arasindaki farkin anlamli olmadigi bulunmustur. Ayrica ogrencilerin kaldiklari yerlere gore yalnizlik ve aleksitimi duzeyleri arasinda anlamli bir farklilik olmadigi anlasilmistir.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".